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TITLE:

DIGITAL PATHOLOGY IN CLINICAL TRIALS, RESEARCH AND THE PRACTICE OF PATHOLOGY IN NEPHROLOGY

AUTHORS:

Dr Hamid Nawaz Khokhar, Dr. Laiba Maryam, Dr. Maham Shafique

ABSTRACT:

Purpose of review: In this audit, we will discuss: i) how continued advances in advanced innovation and computer design are currently being applied to the nephropathologist in clinical research, preliminaries and practice; ii) the benefits of the new computerized condition; iii) how the perception of his or her difficulties is likely to change; and iv) the nephropathologist in the rising period of renal accuracy and the prescience drug. Our current research was led at Mayo Hospital, Lahore from June 2017 to May 2018. Results: Recent reviews have shown how the new institutionalized conventions encourage the harmonization of the advanced pathology database framework and quantitative morphological, morphometric and computer-based surveys. Advanced pathology allows for powerful conventions for clinical preliminaries and research, with the ability to recognize in advance clinically valid parameters that are underutilized or unrecognized. The combination of advanced pathology and atomic markers allows the establishment of clinically meaningful morpho-omics scientific classifications of renal disease. Conclusion: The presentation of advanced pathology in clinical research and preliminaries, and the dynamic use of the state-of-the-art biological programming system, open doors for the improvement of new ideal indicative models and PC-based calculations, changing the act of kidney disease into a state-of-the-art computer science. Keywords: computational disease, convolutional neural network, deep learning, focal segmental glomerulosclerosis, morphometry, nephrotic syndrome, podocytes, structural feature extraction.

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